What is the current concentration of PM10 in South Yorkshire, UK?

The current PM10 concentration at South Yorkshire, UK is 15.224 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

The current sulfur dioxide (SO2) concentration at South Yorkshire, UK is 0.541 ppb.

What is the current concentration of ozone (O3) in South Yorkshire, UK?

The current ozone (O3) concentration at South Yorkshire, UK is 31.514 ppm.

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

The current nitrogen dioxide (NO2) concentration at South Yorkshire, UK is 12.211 ppb.

South Yorkshire, UK live air quality index now

Q: What is the current concentration of PM2.5 in South Yorkshire, UK?

The current PM2.5 concentration at South Yorkshire, UK is 4.946 μg/m3.

Stay updated with real-time air quality in South Yorkshire, UK featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

South Yorkshire, UK

Last updated: ... (Local time)

Major air pollutants in South Yorkshire, UK

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.29 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.20 μg/m³

155

255

425

605+

Ozone (O₃)

29.00 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

15.64 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

South Yorkshire, UK

Get Live Pollen Counts

South Yorkshire, UK

Scroll To Air Quality Map

Track live South Yorkshire, UK air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.771 \| good	17.892 \| good	19.371 \| good	0.641 \| good	18.677 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	33 \| good	5.955 \| good	18.759 \| good	17.243 \| good	0.659 \| good	19.102 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.955 \| good	18.629 \| good	14.682 \| good	0.65 \| good	19.874 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.955 \| good	18.759 \| good	10.87 \| good	0.565 \| good	16.666 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.086 \| good	18.759 \| good	8.42 \| good	0.796 \| good	16.39 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.086 \| good	18.759 \| good	6.395 \| good	0.649 \| good	15.14 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	38 \| good	6.672 \| good	19.44 \| good	6.809 \| good	0.77 \| good	14.045 \| good	0.05 \| good
2026-09-27T06:00:00.000Z	38 \| good	6.672 \| good	19.44 \| good	7.913 \| good	0.561 \| good	14.465 \| good	0.047 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	6.297 \| good	0.694 \| good	15.462 \| good	0.048 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	6.754 \| good	0.689 \| good	15.703 \| good	0.05 \| good
2026-09-27T09:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	7.758 \| good	1.04 \| good	14.705 \| good	0.049 \| good
2026-09-27T10:00:00.000Z	38 \| good	6.672 \| good	18.607 \| good	7.572 \| good	1.218 \| good	11.811 \| good	0.059 \| good
2026-09-27T11:00:00.000Z	38 \| good	6.672 \| good	18.607 \| good	9.464 \| good	1.178 \| good	10.722 \| good	0.048 \| good
2026-09-27T12:00:00.000Z	38 \| good	6.672 \| good	18.925 \| good	12.336 \| good	1.019 \| good	9.631 \| good	0.045 \| good
2026-09-27T13:00:00.000Z	38 \| good	7.086 \| good	19.792 \| good	15.654 \| good	1.1 \| good	8.223 \| good	0.043 \| good
2026-09-27T14:00:00.000Z	44 \| good	7.672 \| good	20.473 \| good	18.869 \| good	1.076 \| good	6.632 \| good	0.044 \| good
2026-09-27T15:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	21.374 \| good	1.083 \| good	6.556 \| good	0.046 \| good
2026-09-27T16:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	24.605 \| good	0.897 \| good	6.571 \| good	0.045 \| good
2026-09-27T17:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	27.272 \| good	0.821 \| good	6.024 \| good	0.045 \| good
2026-09-27T18:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	28.734 \| good	0.828 \| good	7.333 \| good	0.054 \| good
2026-09-27T19:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	30.853 \| good	0.826 \| good	5.692 \| good	0.063 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	31.914 \| good	0.813 \| good	10.334 \| good	0.071 \| good
2026-09-27T21:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	32.228 \| good	0.846 \| good	9.025 \| good	0.088 \| good
2026-09-27T22:00:00.000Z	38 \| good	6.955 \| good	19.564 \| good	31.613 \| good	0.726 \| good	7.811 \| good	0.074 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.955 \| good	19.147 \| good	30.598 \| good	0.682 \| good	9.059 \| good	0.08 \| good
2026-09-28T00:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	29.003 \| good	0.459 \| good	11.303 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	26.971 \| good	0.729 \| good	7.934 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	25.071 \| good	0.455 \| good	6.006 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	6.184 \| good	17.182 \| good	22.306 \| good	0.62 \| good	10.504 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	33 \| good	6 \| good	16.445 \| good	19.464 \| good	0.567 \| good	10.285 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6 \| good	16.445 \| good	16.844 \| good	0.451 \| good	11.938 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	6 \| good	16.445 \| good	14.41 \| good	0.494 \| good	14.377 \| good	0.211 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.901 \| good	16.445 \| good	12.186 \| good	0.681 \| good	15.609 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.771 \| good	17.694 \| good	9.097 \| good	0.797 \| good	18.749 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	5.587 \| good	17.606 \| good	8.173 \| good	0.887 \| good	19.538 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	6.188 \| good	18.944 \| good	5.566 \| good	0.992 \| good	19.199 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	6.188 \| good	19.36 \| good	5.804 \| good	0.697 \| good	16.43 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.587 \| good	18.439 \| good	7.432 \| good	0.875 \| good	10.405 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.358 \| good	18.21 \| good	10.492 \| good	0.633 \| good	7.229 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	27 \| good	5.174 \| good	17.472 \| good	14.762 \| good	0.621 \| good	6.614 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	5.003 \| good	16.205 \| good	18.998 \| good	0.58 \| good	6.599 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.003 \| good	16.075 \| good	22.723 \| good	0.594 \| good	6.704 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	5.003 \| good	16.075 \| good	25.137 \| good	0.455 \| good	8.149 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	28 \| good	5.003 \| good	16.075 \| good	29.535 \| good	0.622 \| good	10.158 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	30 \| good	5.003 \| good	16.205 \| good	32.118 \| good	0.547 \| good	10.941 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	5.003 \| good	16.621 \| good	30.579 \| good	0.464 \| good	25.891 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.358 \| good	18.855 \| good	28.555 \| good	0.595 \| good	20.254 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.289 \| good	18.201 \| good	28.995 \| good	0.602 \| good	15.645 \| good	0.312 \| good
2026-09-28T21:00:00.000Z	33 \| good	6.202 \| good	13.46 \| good	19.495 \| good	0.509 \| good	7.764 \| good	0.167 \| good
2026-09-28T22:00:00.000Z	38 \| good	6.74 \| good	12.77 \| good	18.374 \| good	0.471 \| good	7.031 \| good	0.164 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.549 \| good	12.839 \| good	17.48 \| good	0.388 \| good	6.25 \| good	0.163 \| good
2026-09-29T00:00:00.000Z	33 \| good	6.055 \| good	11.701 \| good	18.47 \| good	0.3 \| good	5.661 \| good	0.158 \| good
2026-09-29T01:00:00.000Z	33 \| good	5.558 \| good	10.605 \| good	17.543 \| good	0.279 \| good	4.786 \| good	0.152 \| good
2026-09-29T02:00:00.000Z	27 \| good	4.914 \| good	9.435 \| good	17.941 \| good	0.258 \| good	3.868 \| good	0.149 \| good
2026-09-29T03:00:00.000Z	22 \| good	4.337 \| good	8.608 \| good	18.502 \| good	0.261 \| good	3.445 \| good	0.149 \| good
2026-09-29T04:00:00.000Z	22 \| good	4.193 \| good	7.838 \| good	18.714 \| good	0.294 \| good	3.448 \| good	0.15 \| good
2026-09-29T05:00:00.000Z	22 \| good	4.086 \| good	7.654 \| good	18.733 \| good	0.335 \| good	3.817 \| good	0.153 \| good
2026-09-29T06:00:00.000Z	22 \| good	4.242 \| good	8.462 \| good	17.463 \| good	0.383 \| good	5.101 \| good	0.159 \| good
2026-09-29T07:00:00.000Z	27 \| good	4.69 \| good	9.683 \| good	18.888 \| good	0.512 \| good	6.886 \| good	0.169 \| good
2026-09-29T08:00:00.000Z	22 \| good	4.424 \| good	9.595 \| good	22.445 \| good	0.442 \| good	6.816 \| good	0.159 \| good
2026-09-29T09:00:00.000Z	24 \| good	3.986 \| good	8.638 \| good	25.827 \| good	0.326 \| good	4.653 \| good	0.143 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.084 \| good	7.143 \| good	30.42 \| good	0.222 \| good	3.665 \| good	0.137 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.064 \| good	6.676 \| good	30.702 \| good	0.186 \| good	3.391 \| good	0.132 \| good
2026-09-29T12:00:00.000Z	29 \| good	3.108 \| good	6.76 \| good	31.273 \| good	0.17 \| good	3.024 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.516 \| good	7.253 \| good	33.811 \| good	0.162 \| good	2.726 \| good	0.132 \| good
2026-09-29T14:00:00.000Z	32 \| good	3.92 \| good	7.385 \| good	35.47 \| good	0.168 \| good	2.708 \| good	0.133 \| good
2026-09-29T15:00:00.000Z	33 \| good	4.648 \| good	7.467 \| good	35.97 \| good	0.171 \| good	2.844 \| good	0.136 \| good
2026-09-29T16:00:00.000Z	34 \| good	5.844 \| good	8.847 \| good	37.421 \| good	0.187 \| good	3.031 \| good	0.14 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.632 \| good	10.35 \| good	37.322 \| good	0.227 \| good	4.126 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.919 \| good	11.717 \| good	34.016 \| good	0.286 \| good	4.888 \| good	0.151 \| good
2026-09-29T19:00:00.000Z	52 \| moderate	10.225 \| good	13.53 \| good	33.595 \| good	0.345 \| good	4.704 \| good	0.151 \| good
2026-09-29T20:00:00.000Z	56 \| moderate	12.147 \| fine	15.904 \| good	31.653 \| good	0.416 \| good	4.658 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	64 \| moderate	15.879 \| fine	19.188 \| good	31.383 \| good	0.484 \| good	5.114 \| good	0.157 \| good
2026-09-29T22:00:00.000Z	66 \| moderate	17.115 \| fine	20.517 \| good	31.596 \| good	0.489 \| good	5.419 \| good	0.161 \| good
2026-09-29T23:00:00.000Z	67 \| moderate	17.66 \| fine	22.291 \| good	30.189 \| good	0.481 \| good	5.448 \| good	0.162 \| good
2026-09-30T00:00:00.000Z	71 \| moderate	19.686 \| fine	24.759 \| good	28.58 \| good	0.491 \| good	5.532 \| good	0.166 \| good
2026-09-30T01:00:00.000Z	73 \| moderate	20.599 \| fine	26.854 \| good	28.458 \| good	0.482 \| good	4.976 \| good	0.165 \| good
2026-09-30T02:00:00.000Z	66 \| moderate	17.198 \| fine	23.432 \| good	29.672 \| good	0.436 \| good	4.19 \| good	0.157 \| good
2026-09-30T03:00:00.000Z	58 \| moderate	12.79 \| fine	17.785 \| good	28.33 \| good	0.375 \| good	3.741 \| good	0.146 \| good
2026-09-30T04:00:00.000Z	49 \| good	9.381 \| good	13.203 \| good	28.29 \| good	0.321 \| good	3.71 \| good	0.145 \| good
2026-09-30T05:00:00.000Z	38 \| good	7.47 \| good	12.511 \| good	28.682 \| good	0.286 \| good	3.809 \| good	0.14 \| good
2026-09-30T06:00:00.000Z	33 \| good	6.08 \| good	9.774 \| good	29.601 \| good	0.25 \| good	4.224 \| good	0.133 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.929 \| good	9.837 \| good	29.938 \| good	0.266 \| good	4.859 \| good	0.137 \| good
2026-09-30T08:00:00.000Z	33 \| good	6.083 \| good	8.232 \| good	29.246 \| good	0.273 \| good	5.271 \| good	0.135 \| good
2026-09-30T09:00:00.000Z	33 \| good	5.742 \| good	7.815 \| good	29.172 \| good	0.225 \| good	5.128 \| good	0.127 \| good
2026-09-30T10:00:00.000Z	28 \| good	5.349 \| good	6.895 \| good	30.364 \| good	0.217 \| good	4.521 \| good	0.125 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.433 \| good	5.895 \| good	31.179 \| good	0.178 \| good	3.008 \| good	0.117 \| good
2026-09-30T12:00:00.000Z	31 \| good	3.955 \| good	6.381 \| good	33.116 \| good	0.186 \| good	2.509 \| good	0.115 \| good
2026-09-30T13:00:00.000Z	34 \| good	3.852 \| good	6.875 \| good	37.193 \| good	0.168 \| good	2 \| good	0.118 \| good
2026-09-30T14:00:00.000Z	37 \| good	3.798 \| good	6.995 \| good	39.619 \| good	0.163 \| good	1.823 \| good	0.118 \| good
2026-09-30T15:00:00.000Z	37 \| good	3.943 \| good	7.761 \| good	39.801 \| good	0.17 \| good	2.252 \| good	0.121 \| good
2026-09-30T16:00:00.000Z	36 \| good	4.412 \| good	9.426 \| good	38.662 \| good	0.195 \| good	2.902 \| good	0.123 \| good
2026-09-30T17:00:00.000Z	32 \| good	4.897 \| good	11.039 \| good	35.197 \| good	0.246 \| good	3.986 \| good	0.13 \| good
2026-09-30T18:00:00.000Z	29 \| good	5.42 \| good	11.941 \| good	31.37 \| good	0.326 \| good	5.792 \| good	0.138 \| good
2026-09-30T19:00:00.000Z	33 \| good	6.253 \| good	12.351 \| good	27.019 \| good	0.4 \| good	7.704 \| good	0.14 \| good
2026-09-30T20:00:00.000Z	38 \| good	6.656 \| good	12.642 \| good	24.507 \| good	0.468 \| good	8.909 \| good	0.139 \| good

South Yorkshire

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Adwick le Street, South Yorkshire	29 Good	4.95μg/m³ Good	20.62μg/m³ Good	30.81ppb Good	0.51ppb Good	14.18ppb Good	0.25ppm Good
Cudworth, South Yorkshire	31 Good	4.47μg/m³ Good	11.95μg/m³ Good	32.70ppb Good	0.64ppb Good	10.50ppb Good	0.25ppm Good
Barnsley, South Yorkshire	31 Good	4.08μg/m³ Good	9.61μg/m³ Good	33.07ppb Good	0.74ppb Good	9.82ppb Good	0.25ppm Good
Doncaster, South Yorkshire	28 Good	5.00μg/m³ Good	21.98μg/m³ Good	30.45ppb Good	0.50ppb Good	14.88ppb Good	0.25ppm Good
Conisbrough, South Yorkshire	29 Good	4.93μg/m³ Good	19.12μg/m³ Good	31.24ppb Good	0.52ppb Good	13.23ppb Good	0.25ppm Good
Armthorpe, South Yorkshire	28 Good	5.04μg/m³ Good	20.73μg/m³ Good	30.44ppb Good	0.49ppb Good	13.76ppb Good	0.25ppm Good
Dinnington, South Yorkshire	33 Good	5.57μg/m³ Good	11.54μg/m³ Good	29.68ppb Good	0.49ppb Good	11.73ppb Good	0.25ppm Good
Dunscroft, South Yorkshire	30 Good	4.94μg/m³ Good	11.06μg/m³ Good	32.21ppb Good	0.47ppb Good	9.01ppb Good	0.25ppm Good
Darton, South Yorkshire	31 Good	4.08μg/m³ Good	9.42μg/m³ Good	33.07ppb Good	0.74ppb Good	9.74ppb Good	0.25ppm Good
Scawthorpe, South Yorkshire	29 Good	4.99μg/m³ Good	21.68μg/m³ Good	30.53ppb Good	0.50ppb Good	14.73ppb Good	0.25ppm Good
Chapeltown, South Yorkshire	30 Good	4.44μg/m³ Good	15.37μg/m³ Good	32.50ppb Good	0.56ppb Good	13.09ppb Good	0.25ppm Good
Bentley, South Yorkshire	29 Good	4.99μg/m³ Good	21.68μg/m³ Good	30.53ppb Good	0.50ppb Good	14.73ppb Good	0.25ppm Good
Maltby, South Yorkshire	33 Good	5.88μg/m³ Good	9.75μg/m³ Good	29.67ppb Good	0.49ppb Good	12.60ppb Good	0.25ppm Good
Mexborough, South Yorkshire	33 Good	5.88μg/m³ Good	9.75μg/m³ Good	29.67ppb Good	0.49ppb Good	12.60ppb Good	0.25ppm Good
New Rossington, South Yorkshire	29 Good	5.04μg/m³ Good	20.89μg/m³ Good	30.75ppb Good	0.50ppb Good	14.11ppb Good	0.25ppm Good
Royston, South Yorkshire	31 Good	4.31μg/m³ Good	10.73μg/m³ Good	32.82ppb Good	0.68ppb Good	10.18ppb Good	0.25ppm Good
Swallownest, South Yorkshire	31 Good	4.63μg/m³ Good	13.63μg/m³ Good	32.61ppb Good	0.52ppb Good	9.89ppb Good	0.25ppm Good
Thorne, South Yorkshire	30 Good	4.86μg/m³ Good	14.04μg/m³ Good	32.22ppb Good	0.46ppb Good	14.05ppb Good	0.25ppm Good
Rawmarsh, South Yorkshire	30 Good	5.18μg/m³ Good	15.95μg/m³ Good	32.26ppb Good	0.54ppb Good	10.01ppb Good	0.25ppm Good
Hoyland, South Yorkshire	31 Good	4.48μg/m³ Good	13.50μg/m³ Good	32.66ppb Good	0.60ppb Good	10.97ppb Good	0.25ppm Good
Rotherham, South Yorkshire	30 Good	5.41μg/m³ Good	15.94μg/m³ Good	32.31ppb Good	0.53ppb Good	8.61ppb Good	0.25ppm Good
Sheffield, South Yorkshire	31 Good	4.04μg/m³ Good	11.12μg/m³ Good	32.96ppb Good	0.52ppb Good	11.34ppb Good	0.25ppm Good
Kirk Sandall, South Yorkshire	28 Good	4.94μg/m³ Good	21.16μg/m³ Good	30.45ppb Good	0.50ppb Good	14.42ppb Good	0.25ppm Good
Swinton, South Yorkshire	30 Good	4.92μg/m³ Good	16.29μg/m³ Good	32.05ppb Good	0.55ppb Good	11.37ppb Good	0.25ppm Good
Warmsworth, South Yorkshire	29 Good	4.97μg/m³ Good	21.17μg/m³ Good	30.67ppb Good	0.51ppb Good	14.44ppb Good	0.25ppm Good
WathuponDearne, South Yorkshire	30 Good	4.92μg/m³ Good	15.46μg/m³ Good	32.29ppb Good	0.56ppb Good	10.81ppb Good	0.25ppm Good
Wickersley, South Yorkshire	33 Good	5.88μg/m³ Good	9.75μg/m³ Good	29.67ppb Good	0.49ppb Good	12.60ppb Good	0.25ppm Good
Wombwell, South Yorkshire	33 Good	5.65μg/m³ Good	12.38μg/m³ Good	32.11ppb Good	0.54ppb Good	14.52ppb Good	0.25ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.25ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in UK

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Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

The air quality for South Yorkshire, UK is updated every hour.

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

The worst air quality in South Yorkshire, UK in the last 24 hours was observed at 09:00:00 on 2026-09-27.

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

In the last 24 hrs, the best air quality in South Yorkshire, UK was observed at 05:00:00 on 2026-09-28.

What is the current air quality in South Yorkshire, UK?

The current air quality in South Yorkshire, UK is 30, categorized as Good based on real-time data.

What pollutant is the most common in South Yorkshire, UK?

The most common pollutant in South Yorkshire, UK is O3.

What should I do if the air quality in South Yorkshire, UK is poor?

If the air quality in South Yorkshire, UK is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in South Yorkshire, UK?

The current PM_2.5 concentration at South Yorkshire, UK is 4.946 μg/m³.

What is the current concentration of PM₁₀ in South Yorkshire, UK?

The current PM₁₀ concentration at South Yorkshire, UK is 15.224 μg/m³.

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

The current carbon monoxide (CO) concentration at South Yorkshire, UK is 0.253 ppm.

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

The current sulfur dioxide (SO₂) concentration at South Yorkshire, UK is 0.541 ppb.

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

The current ozone (O₃) concentration at South Yorkshire, UK is 31.514 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?

The current nitrogen dioxide (NO₂) concentration at South Yorkshire, UK is 12.211 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.771 \| good	17.892 \| good	19.371 \| good	0.641 \| good	18.677 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	33 \| good	5.955 \| good	18.759 \| good	17.243 \| good	0.659 \| good	19.102 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.955 \| good	18.629 \| good	14.682 \| good	0.65 \| good	19.874 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.955 \| good	18.759 \| good	10.87 \| good	0.565 \| good	16.666 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.086 \| good	18.759 \| good	8.42 \| good	0.796 \| good	16.39 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.086 \| good	18.759 \| good	6.395 \| good	0.649 \| good	15.14 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	38 \| good	6.672 \| good	19.44 \| good	6.809 \| good	0.77 \| good	14.045 \| good	0.05 \| good
2026-09-27T06:00:00.000Z	38 \| good	6.672 \| good	19.44 \| good	7.913 \| good	0.561 \| good	14.465 \| good	0.047 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	6.297 \| good	0.694 \| good	15.462 \| good	0.048 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	6.754 \| good	0.689 \| good	15.703 \| good	0.05 \| good
2026-09-27T09:00:00.000Z	38 \| good	6.672 \| good	19.024 \| good	7.758 \| good	1.04 \| good	14.705 \| good	0.049 \| good
2026-09-27T10:00:00.000Z	38 \| good	6.672 \| good	18.607 \| good	7.572 \| good	1.218 \| good	11.811 \| good	0.059 \| good
2026-09-27T11:00:00.000Z	38 \| good	6.672 \| good	18.607 \| good	9.464 \| good	1.178 \| good	10.722 \| good	0.048 \| good
2026-09-27T12:00:00.000Z	38 \| good	6.672 \| good	18.925 \| good	12.336 \| good	1.019 \| good	9.631 \| good	0.045 \| good
2026-09-27T13:00:00.000Z	38 \| good	7.086 \| good	19.792 \| good	15.654 \| good	1.1 \| good	8.223 \| good	0.043 \| good
2026-09-27T14:00:00.000Z	44 \| good	7.672 \| good	20.473 \| good	18.869 \| good	1.076 \| good	6.632 \| good	0.044 \| good
2026-09-27T15:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	21.374 \| good	1.083 \| good	6.556 \| good	0.046 \| good
2026-09-27T16:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	24.605 \| good	0.897 \| good	6.571 \| good	0.045 \| good
2026-09-27T17:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	27.272 \| good	0.821 \| good	6.024 \| good	0.045 \| good
2026-09-27T18:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	28.734 \| good	0.828 \| good	7.333 \| good	0.054 \| good
2026-09-27T19:00:00.000Z	44 \| good	7.857 \| good	22.126 \| good	30.853 \| good	0.826 \| good	5.692 \| good	0.063 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	31.914 \| good	0.813 \| good	10.334 \| good	0.071 \| good
2026-09-27T21:00:00.000Z	44 \| good	7.672 \| good	20.89 \| good	32.228 \| good	0.846 \| good	9.025 \| good	0.088 \| good
2026-09-27T22:00:00.000Z	38 \| good	6.955 \| good	19.564 \| good	31.613 \| good	0.726 \| good	7.811 \| good	0.074 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.955 \| good	19.147 \| good	30.598 \| good	0.682 \| good	9.059 \| good	0.08 \| good
2026-09-28T00:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	29.003 \| good	0.459 \| good	11.303 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	26.971 \| good	0.729 \| good	7.934 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.771 \| good	18.41 \| good	25.071 \| good	0.455 \| good	6.006 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	6.184 \| good	17.182 \| good	22.306 \| good	0.62 \| good	10.504 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	33 \| good	6 \| good	16.445 \| good	19.464 \| good	0.567 \| good	10.285 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6 \| good	16.445 \| good	16.844 \| good	0.451 \| good	11.938 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	6 \| good	16.445 \| good	14.41 \| good	0.494 \| good	14.377 \| good	0.211 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.901 \| good	16.445 \| good	12.186 \| good	0.681 \| good	15.609 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.771 \| good	17.694 \| good	9.097 \| good	0.797 \| good	18.749 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	5.587 \| good	17.606 \| good	8.173 \| good	0.887 \| good	19.538 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	6.188 \| good	18.944 \| good	5.566 \| good	0.992 \| good	19.199 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	6.188 \| good	19.36 \| good	5.804 \| good	0.697 \| good	16.43 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.587 \| good	18.439 \| good	7.432 \| good	0.875 \| good	10.405 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.358 \| good	18.21 \| good	10.492 \| good	0.633 \| good	7.229 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	27 \| good	5.174 \| good	17.472 \| good	14.762 \| good	0.621 \| good	6.614 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	5.003 \| good	16.205 \| good	18.998 \| good	0.58 \| good	6.599 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.003 \| good	16.075 \| good	22.723 \| good	0.594 \| good	6.704 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	5.003 \| good	16.075 \| good	25.137 \| good	0.455 \| good	8.149 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	28 \| good	5.003 \| good	16.075 \| good	29.535 \| good	0.622 \| good	10.158 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	30 \| good	5.003 \| good	16.205 \| good	32.118 \| good	0.547 \| good	10.941 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	5.003 \| good	16.621 \| good	30.579 \| good	0.464 \| good	25.891 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.358 \| good	18.855 \| good	28.555 \| good	0.595 \| good	20.254 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.289 \| good	18.201 \| good	28.995 \| good	0.602 \| good	15.645 \| good	0.312 \| good
2026-09-28T21:00:00.000Z	33 \| good	6.202 \| good	13.46 \| good	19.495 \| good	0.509 \| good	7.764 \| good	0.167 \| good
2026-09-28T22:00:00.000Z	38 \| good	6.74 \| good	12.77 \| good	18.374 \| good	0.471 \| good	7.031 \| good	0.164 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.549 \| good	12.839 \| good	17.48 \| good	0.388 \| good	6.25 \| good	0.163 \| good
2026-09-29T00:00:00.000Z	33 \| good	6.055 \| good	11.701 \| good	18.47 \| good	0.3 \| good	5.661 \| good	0.158 \| good
2026-09-29T01:00:00.000Z	33 \| good	5.558 \| good	10.605 \| good	17.543 \| good	0.279 \| good	4.786 \| good	0.152 \| good
2026-09-29T02:00:00.000Z	27 \| good	4.914 \| good	9.435 \| good	17.941 \| good	0.258 \| good	3.868 \| good	0.149 \| good
2026-09-29T03:00:00.000Z	22 \| good	4.337 \| good	8.608 \| good	18.502 \| good	0.261 \| good	3.445 \| good	0.149 \| good
2026-09-29T04:00:00.000Z	22 \| good	4.193 \| good	7.838 \| good	18.714 \| good	0.294 \| good	3.448 \| good	0.15 \| good
2026-09-29T05:00:00.000Z	22 \| good	4.086 \| good	7.654 \| good	18.733 \| good	0.335 \| good	3.817 \| good	0.153 \| good
2026-09-29T06:00:00.000Z	22 \| good	4.242 \| good	8.462 \| good	17.463 \| good	0.383 \| good	5.101 \| good	0.159 \| good
2026-09-29T07:00:00.000Z	27 \| good	4.69 \| good	9.683 \| good	18.888 \| good	0.512 \| good	6.886 \| good	0.169 \| good
2026-09-29T08:00:00.000Z	22 \| good	4.424 \| good	9.595 \| good	22.445 \| good	0.442 \| good	6.816 \| good	0.159 \| good
2026-09-29T09:00:00.000Z	24 \| good	3.986 \| good	8.638 \| good	25.827 \| good	0.326 \| good	4.653 \| good	0.143 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.084 \| good	7.143 \| good	30.42 \| good	0.222 \| good	3.665 \| good	0.137 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.064 \| good	6.676 \| good	30.702 \| good	0.186 \| good	3.391 \| good	0.132 \| good
2026-09-29T12:00:00.000Z	29 \| good	3.108 \| good	6.76 \| good	31.273 \| good	0.17 \| good	3.024 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.516 \| good	7.253 \| good	33.811 \| good	0.162 \| good	2.726 \| good	0.132 \| good
2026-09-29T14:00:00.000Z	32 \| good	3.92 \| good	7.385 \| good	35.47 \| good	0.168 \| good	2.708 \| good	0.133 \| good
2026-09-29T15:00:00.000Z	33 \| good	4.648 \| good	7.467 \| good	35.97 \| good	0.171 \| good	2.844 \| good	0.136 \| good
2026-09-29T16:00:00.000Z	34 \| good	5.844 \| good	8.847 \| good	37.421 \| good	0.187 \| good	3.031 \| good	0.14 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.632 \| good	10.35 \| good	37.322 \| good	0.227 \| good	4.126 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.919 \| good	11.717 \| good	34.016 \| good	0.286 \| good	4.888 \| good	0.151 \| good
2026-09-29T19:00:00.000Z	52 \| moderate	10.225 \| good	13.53 \| good	33.595 \| good	0.345 \| good	4.704 \| good	0.151 \| good
2026-09-29T20:00:00.000Z	56 \| moderate	12.147 \| fine	15.904 \| good	31.653 \| good	0.416 \| good	4.658 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	64 \| moderate	15.879 \| fine	19.188 \| good	31.383 \| good	0.484 \| good	5.114 \| good	0.157 \| good
2026-09-29T22:00:00.000Z	66 \| moderate	17.115 \| fine	20.517 \| good	31.596 \| good	0.489 \| good	5.419 \| good	0.161 \| good
2026-09-29T23:00:00.000Z	67 \| moderate	17.66 \| fine	22.291 \| good	30.189 \| good	0.481 \| good	5.448 \| good	0.162 \| good
2026-09-30T00:00:00.000Z	71 \| moderate	19.686 \| fine	24.759 \| good	28.58 \| good	0.491 \| good	5.532 \| good	0.166 \| good
2026-09-30T01:00:00.000Z	73 \| moderate	20.599 \| fine	26.854 \| good	28.458 \| good	0.482 \| good	4.976 \| good	0.165 \| good
2026-09-30T02:00:00.000Z	66 \| moderate	17.198 \| fine	23.432 \| good	29.672 \| good	0.436 \| good	4.19 \| good	0.157 \| good
2026-09-30T03:00:00.000Z	58 \| moderate	12.79 \| fine	17.785 \| good	28.33 \| good	0.375 \| good	3.741 \| good	0.146 \| good
2026-09-30T04:00:00.000Z	49 \| good	9.381 \| good	13.203 \| good	28.29 \| good	0.321 \| good	3.71 \| good	0.145 \| good
2026-09-30T05:00:00.000Z	38 \| good	7.47 \| good	12.511 \| good	28.682 \| good	0.286 \| good	3.809 \| good	0.14 \| good
2026-09-30T06:00:00.000Z	33 \| good	6.08 \| good	9.774 \| good	29.601 \| good	0.25 \| good	4.224 \| good	0.133 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.929 \| good	9.837 \| good	29.938 \| good	0.266 \| good	4.859 \| good	0.137 \| good
2026-09-30T08:00:00.000Z	33 \| good	6.083 \| good	8.232 \| good	29.246 \| good	0.273 \| good	5.271 \| good	0.135 \| good
2026-09-30T09:00:00.000Z	33 \| good	5.742 \| good	7.815 \| good	29.172 \| good	0.225 \| good	5.128 \| good	0.127 \| good
2026-09-30T10:00:00.000Z	28 \| good	5.349 \| good	6.895 \| good	30.364 \| good	0.217 \| good	4.521 \| good	0.125 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.433 \| good	5.895 \| good	31.179 \| good	0.178 \| good	3.008 \| good	0.117 \| good
2026-09-30T12:00:00.000Z	31 \| good	3.955 \| good	6.381 \| good	33.116 \| good	0.186 \| good	2.509 \| good	0.115 \| good
2026-09-30T13:00:00.000Z	34 \| good	3.852 \| good	6.875 \| good	37.193 \| good	0.168 \| good	2 \| good	0.118 \| good
2026-09-30T14:00:00.000Z	37 \| good	3.798 \| good	6.995 \| good	39.619 \| good	0.163 \| good	1.823 \| good	0.118 \| good
2026-09-30T15:00:00.000Z	37 \| good	3.943 \| good	7.761 \| good	39.801 \| good	0.17 \| good	2.252 \| good	0.121 \| good
2026-09-30T16:00:00.000Z	36 \| good	4.412 \| good	9.426 \| good	38.662 \| good	0.195 \| good	2.902 \| good	0.123 \| good
2026-09-30T17:00:00.000Z	32 \| good	4.897 \| good	11.039 \| good	35.197 \| good	0.246 \| good	3.986 \| good	0.13 \| good
2026-09-30T18:00:00.000Z	29 \| good	5.42 \| good	11.941 \| good	31.37 \| good	0.326 \| good	5.792 \| good	0.138 \| good
2026-09-30T19:00:00.000Z	33 \| good	6.253 \| good	12.351 \| good	27.019 \| good	0.4 \| good	7.704 \| good	0.14 \| good
2026-09-30T20:00:00.000Z	38 \| good	6.656 \| good	12.642 \| good	24.507 \| good	0.468 \| good	8.909 \| good	0.139 \| good

South Yorkshire, UK live air quality index now

Major air pollutants in South Yorkshire, UK

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Yorkshire, UK air quality forecast and history

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

Air quality in nearby states

Derbyshire, UK

Nottinghamshire, UK

West Yorkshire, UK

North Lincolnshire, UK

Greater Manchester, UK

East Riding of Yorkshire, UK

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

What is the current air quality in South Yorkshire, UK?

What pollutant is the most common in South Yorkshire, UK?

What should I do if the air quality in South Yorkshire, UK is poor?

What is the current concentration of PM2.5 in South Yorkshire, UK?

What is the current concentration of PM10 in South Yorkshire, UK?

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

What is the current concentration of ozone (O3) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in South Yorkshire, UK?

What is the current concentration of PM₁₀ in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?